CN114094615B - Multi-DC conveying limit calculation method based on DC interaction coupling clustering - Google Patents

Multi-DC conveying limit calculation method based on DC interaction coupling clustering Download PDF

Info

Publication number
CN114094615B
CN114094615B CN202111375409.8A CN202111375409A CN114094615B CN 114094615 B CN114094615 B CN 114094615B CN 202111375409 A CN202111375409 A CN 202111375409A CN 114094615 B CN114094615 B CN 114094615B
Authority
CN
China
Prior art keywords
direct current
power
operation modes
interaction
direct
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111375409.8A
Other languages
Chinese (zh)
Other versions
CN114094615A (en
Inventor
马晓伟
王吉利
程林
任冲
张钢
魏平
卫琳
王康平
刘俊
王光耀
刘嘉诚
张睿哲
彭鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Northwest Branch Of State Grid Corp Of China
Xian Jiaotong University
Original Assignee
Northwest Branch Of State Grid Corp Of China
Xian Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Northwest Branch Of State Grid Corp Of China, Xian Jiaotong University filed Critical Northwest Branch Of State Grid Corp Of China
Priority to CN202111375409.8A priority Critical patent/CN114094615B/en
Publication of CN114094615A publication Critical patent/CN114094615A/en
Application granted granted Critical
Publication of CN114094615B publication Critical patent/CN114094615B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/36Arrangements for transfer of electric power between ac networks via a high-tension dc link
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/60Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The multi-DC transmission limit calculation method based on DC interaction coupling clustering is to utilize power system analysis calculation software to perform short circuit calculation on regional power grids under various operation modes such as different grid structures, different generator output, DC transmission power and the like, so as to obtain an interaction factor matrix among all DC lines under various operation modes; and performing cluster analysis on the interaction factor matrix data by using a machine learning method, selecting cluster intervals of clustering of the difference degree between the DC clusters according to engineering experience, obtaining DC cluster results considering DC interaction strength coupling, and further coordinating steady-state transmission power of each DC line in the same DC cluster to obtain a multi-DC line transmission limit. The method can quantitatively analyze the interaction and the coupling degree between the multiple direct current lines of the alternating current-direct current interconnection power grid and guide the reasonable planning and the coordinated operation of the series-parallel power grid.

Description

Multi-DC conveying limit calculation method based on DC interaction coupling clustering
Technical Field
The invention belongs to the field of power system analysis, and particularly relates to a multi-direct-current transmission limit calculation method based on direct-current interaction coupling clustering.
Background
The power transmission end of the HVDC system is mostly concentrated in areas with dense energy sources such as northwest, southwest and the like. At present, the multi-regional power grid in China has the important characteristics of direct current multi-output or multi-feed, and the conveying scale of the power grid is rare in the world. Because the distance between the direct current falling points is relatively close, the electric coupling between the direct current loops is close, the mutual influence is large, and complex interaction between direct current and between direct current and alternating current exists. It can also be seen from the existing research on the multi-feed HVDC system that the larger the coupling strength between the direct currents of each loop is, the more easily the system is subjected to faults such as commutation failure, so that the multi-direct current comprehensive power limit is difficult to accurately acquire, and great challenges are brought to the safe and stable operation and control of the system.
The international large grid organization CIGRE defines in the research report a Multi-feed interaction factor (Multi-Infeed Interaction Factor, MIIF), which means that: and a three-phase symmetrical reactor is connected to a back HVDC power transmission bus, and when the voltage of the back direct current conversion bus drops by 1% due to reactive disturbance of the back direct current, the ratio of the voltage fluctuation of other back direct currents at the conversion bus and the voltage drop quantity at the back direct current conversion bus caused by the disturbance is used for describing the multi-direct current interaction. For multi-feed ac/dc systems, a new concept has been established by the learner, namely the multi-feed interaction factor MSIF, which is used to characterize the interactions between the multiple dc in the multi-feed system.
With the increasing development of HVDC, the situation that the dropping points of multiple direct currents are close and are mutually influenced occurs, and the interaction strength among the multiple direct currents needs to be quantified, so that the coordinated operation of the multiple direct current lines is performed. For the mechanism of mutual coupling influence among multiple loops of direct currents, although various nationists propose some indexes to partially measure the influence among the loops of direct currents, no method can reasonably analyze the interaction strength coupling of the multiple loops of direct currents at present and coordinate the steady-state operation of the direct currents to obtain the transmission limit of the multiple loops of direct currents in a direct current group.
Disclosure of Invention
The invention aims to solve the problems, and provides a multi-direct-current transmission limit calculation method based on direct-current interaction coupling clustering, which provides a certain theoretical basis and quantitative analysis technical support for the joint operation of multiple direct-current lines, so as to reflect the degree of mutual coupling tightness among the multiple direct-current lines and overcome the defect that the prior art cannot coordinate operation of the multiple direct-current lines and reach the transmission limit.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a multi-DC conveying limit calculation method based on DC interaction coupling clustering comprises the following steps:
step one: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current circuit of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current circuits by utilizing power system analysis and calculation software (the plurality of operation modes refer to power flow operation modes of different generators, loads and direct current transmission power under different grid structures) to obtain a plurality of feasible power flow operation modes;
step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
Figure GDA0004212173680000021
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;
Figure GDA0004212173680000022
the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
Figure GDA0004212173680000023
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop caused by the commutation bus i adjacent to the converter station j is measured by deltau i A representation;
step three: using machine learning method to make interaction factor MSIF under several running modes ij (i=1, 2, …, n; j=1, 2, …, n) performing cluster analysis; designating the cluster distance (namely designating the difference degree between the direct current groups) as an empirical constant const in a clustering algorithm to obtain a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
Figure GDA0004212173680000031
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, taken as 0.25;
Step four: based on the multiple feasible tide operation modes obtained in the step one, carrying out electromechanical transient time domain simulation calculation of multiple DC output capacities on the multiple feasible tide operation modes of the regional power grid containing the multiple DC lines by using the clustering and clustering results of the DC lines obtained in the step three, and regulating steady-state transmission power of each DC in the multiple operation modes by considering the influence of other DC transmission power in the DC group on the DC coupling concerned to obtain the upper limit of transmission of all n DC lines in the DC group without violating transient stability criteria
Figure GDA0004212173680000033
Figure GDA0004212173680000032
In the invention, the current converting buses i and j refer to the i and j-th direct current sending end current converting buses respectively, and the numbers of the i and j-th direct current sending end current converting buses are completely consistent.
Compared with the prior art, the invention has the following advantages:
the method can fully consider the interaction factors among the direct current lines in various operation modes, and uses a machine learning method (preferably DBSCAN algorithm) to perform cluster analysis, so as to accurately quantify the interaction among the multiple direct current lines, thereby overcoming the defect that the traditional single operation mode cannot fully guide the actual engineering application; and the calculation of direct current interaction coupling clustering is given, so that scientific guidance can be provided for accurately acquiring the multi-direct current transmission limit of the alternating current-direct current series-parallel power system, and the improvement of the multi-direct current transmission limit has remarkable economic and social benefits.
Drawings
Fig. 1 is a method for calculating a multi-dc line delivery limit based on dc interaction intensity coupling clustering.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1, the method for calculating the multi-dc delivery limit based on dc interaction coupling clustering according to the embodiment of the present invention includes the following steps: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current circuit of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current circuits by utilizing power system analysis and calculation software (the plurality of operation modes refer to power flow operation modes of different generators, loads and direct current transmission power under different grid structures) to obtain a plurality of feasible power flow operation modes; according to the requirement in the first step, a certain regional power grid in China is selected, and the computing data adopts the basic data of the regional power grid in China in 2020. And carrying out power flow simulation calculation on various running modes by using power system analysis and calculation software PSASP to obtain a plurality of feasible power flow running modes.
Step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
Figure GDA0004212173680000041
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;
Figure GDA0004212173680000042
the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
Figure GDA0004212173680000051
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop caused by the commutation bus i adjacent to the converter station j is measured by deltau i A representation; according to the requirement of the second step, the power system analysis and calculation software PSASP is utilized to perform short circuit calculation on a plurality of possible power flow operation modes of the regional power grid comprising a plurality of direct current lines on the basis of the plurality of possible power flow operation modes obtained in the first step, and table 1 shows interaction factors MSIF between the direct current lines under a certain grid structure and operation mode obtained by using the power system analysis and calculation software PSASP according to the embodiment of the invention ij
The corresponding relation between the direct current circuit and the converter bus is as follows: the rectification side commutation bus of the Qinghuan direct current is ' Qinghuan Le 72 ', ' Qi Shao direct current ' rectification side commutation bus is ' Gan Qilian commutation 71 ', ' Ji Quan direct current ' rectification side commutation bus is ' Xinchang Ji convertor station 71 ', ' Tianzhong direct current ' rectification side commutation bus is ' Xinhua Miao convertor 500 ', ' Lingshao direct current ' rectification side commutation bus is ' Ning Lingzhou convertor station 72 ', ' the rectification side converter buses of Yindong direct current are Ningyinchuan converter station 330, zhaoyi direct current, ning Yike Zhaozhao converter station 52, debao direct current, shan Bao chicken 330, lingbao direct current, shan Luoshan application 331 and Shan southeast suburb 330.
Table 1 grid structure 1, DC interaction factor table under the operating mode of turning on the green Lash G2 and green Lash G3 with green Lash DC transmission power of 600MW
Figure GDA0004212173680000052
Figure GDA0004212173680000061
Step three: machine for useThe device learning method is used for the interaction factors MSIF under various operation modes ij (i=1, 2, …, n; j=1, 2, …, n) performing cluster analysis; designating the cluster distance (namely designating the difference degree between the direct current groups) as an empirical constant const in a clustering algorithm to obtain a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
MSIF ij +MSIF ji ≥const (3)
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, 0.25 is taken; according to the requirement of the third step, clustering analysis is carried out on the interaction factor data by using a machine learning method DBSCAN algorithm; and designating cluster spacing (namely designating the degree of difference between the direct current groups) as a constant of 0.25 in the DBSCAN algorithm to obtain a multi-direct current line clustering result.
The existing method for grouping the direct current lines mainly takes the geographic position as the basis, for example, the receiving end of the Qinghua DC is close to the geographic position of the receiving end of the Shaanxi DC group, so that the Qinghua DC and the Lingbao DC can be considered to be divided into groups, but the result of the method provided by the invention proves that the green Zhu DC and the Xinjiang DC are more reasonable to be divided together.
Finally, according to the fourth step, the power system analysis and calculation software PSASP utilizes the DC cluster result obtained in the third step, and carries out electromechanical transient time domain simulation calculation of multiple DC output capacities on multiple feasible tide operation modes of the regional power grid containing multiple DC lines on the basis of the multiple feasible tide operation modes obtained in the first step, and adjusts steady-state transmission power of each DC in the multiple operation modes by considering the influence of other DC transmission power in the DC cluster on the DC coupling concerned, thereby obtaining the upper limit of the transmission limit of all the n DC lines in the DC cluster without violating transient stability criteria of the regional power grid in the embodiment
Figure GDA0004212173680000062
Such as a watch2. As can be seen from the data in table 2, by controlling the emergency active power support of other dc lines of the dc group after Ji Quan dc bipolar blocking, the integrated output capacity of three loops of dc can be respectively increased from 1180 kilowatts to 1210, 1230 and 1220 kilowatts, wherein the maximum integrated output capacity is Ji Quan bipolar blocking, and 1230 kilowatts are respectively increased by 25% in the working conditions of daily and Qi Shao active modulation, so as to verify the implementation effect of the present invention.
TABLE 2 transportation limit table for Xinjiang DC group multiple DC lines
Figure GDA0004212173680000071
Finally, it should be noted that: the foregoing description is only one embodiment of the present invention, and is not intended to limit the present invention, but although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (3)

1. The multi-direct-current conveying limit calculating method based on direct-current interaction coupling clustering is characterized by comprising the following steps of:
step one: inputting basic data of a grid structure, a generator, a load, a transformer and a direct current line of a system for power flow calculation, and performing power flow calculation on a plurality of operation modes of a regional power grid comprising a plurality of direct current lines by utilizing power system analysis and calculation software to obtain a plurality of feasible power flow operation modes;
step two: based on the multiple feasible power flow operation modes obtained in the step one, short circuit calculation is carried out on the multiple feasible power flow operation modes of the regional power grid comprising the multiple direct current lines by utilizing power system analysis and calculation software, and the multi-output short circuit ratio of the multi-direct current system is obtained:
Figure FDA0003363771260000011
wherein S is aci The ac short-circuit capacity of the commutation bus i; p (P) di Indicating the ith return DC power;
Figure FDA0003363771260000012
the disturbance at the position of the current converting bus i is shown to cause the voltage change of the current converting bus i, so that the change of the j-th return DC power of the lead affects an AC system, n is the number of DC lines, and P dj The j-th DC power; MSIF (MSIF) ij The interaction factors of the direct current circuit i on the direct current circuit j under various operation modes are represented and calculated as follows:
Figure FDA0003363771260000013
wherein an inductive load is connected to the commutation bus j to cause 1% voltage drop on the commutation bus j by DeltaU j A representation; the voltage drop of the commutation bus i adjacent to the commutation bus j is caused by DeltaU i A representation;
step three: using machine learning method to make interaction factor MSIF under several running modes ij Cluster analysis was performed, where i=1, 2, …, n; j=1, 2, …, n; designating the cluster spacing in a clustering algorithm, namely designating the difference degree between the direct current groups as an empirical constant const, and obtaining a clustering and grouping result of a plurality of direct current lines; the specific method is that when the sum of interaction factors between two direct current lines is greater than or equal to an empirical constant const, the two direct current lines are considered to be clustered into the same group;
MSIF ij +MSIF ji ≥const (3)
wherein MSIF ji Representing the multi-output interaction factor of the direct current circuit j to the direct current circuit i; const is an empirical constant, 0.25 is taken;
step four: the utilization stepOn the basis of the multiple feasible power flow operation modes obtained in the first step, the electromechanical transient time domain simulation calculation of multiple direct current output capacity is carried out on the multiple feasible power flow operation modes of the regional power grid containing the multiple direct current lines, the influence of other direct current transmission power in the direct current group on the direct current coupling concerned is considered, the steady state transmission power of each direct current in the multiple operation modes is regulated, and the upper limit of the transmission limit of all n direct current lines in the direct current group without violating transient stability criteria is obtained
Figure FDA0003363771260000021
Figure FDA0003363771260000022
2. The method for calculating the multi-direct-current transmission limit based on direct-current interaction coupling clustering according to claim 1, wherein the multiple operation modes refer to tide operation modes of different generators, loads and direct-current transmission powers under different grid structures.
3. The multi-direct current delivery limit calculation method based on direct current interaction coupling clustering according to claim 1, wherein the machine learning method is a DBSCAN algorithm.
CN202111375409.8A 2021-11-19 2021-11-19 Multi-DC conveying limit calculation method based on DC interaction coupling clustering Active CN114094615B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111375409.8A CN114094615B (en) 2021-11-19 2021-11-19 Multi-DC conveying limit calculation method based on DC interaction coupling clustering

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111375409.8A CN114094615B (en) 2021-11-19 2021-11-19 Multi-DC conveying limit calculation method based on DC interaction coupling clustering

Publications (2)

Publication Number Publication Date
CN114094615A CN114094615A (en) 2022-02-25
CN114094615B true CN114094615B (en) 2023-06-13

Family

ID=80302222

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111375409.8A Active CN114094615B (en) 2021-11-19 2021-11-19 Multi-DC conveying limit calculation method based on DC interaction coupling clustering

Country Status (1)

Country Link
CN (1) CN114094615B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4648018A (en) * 1984-03-01 1987-03-03 Siemens Aktiengesellschaft Method and apparatus to operate a high-voltage DC transmission system (HVDC) with automatic control of the converters
CN107134799A (en) * 2017-04-19 2017-09-05 国家电网公司 A kind of extra-high voltage grid transverter reactive configuration method based on short-circuit ratio
CN109149614A (en) * 2018-08-20 2019-01-04 西安交通大学 A kind of alternating current-direct current combined hybrid system alternating current circuit reclosing mode setting method
CN109888847A (en) * 2019-03-11 2019-06-14 广东电网有限责任公司 Optimizing operation method, the apparatus and system of more feed-in AC-DC hybrid power grids
CN112787351A (en) * 2021-01-07 2021-05-11 国网江苏省电力有限公司经济技术研究院 Coordination control method for low-voltage current limiting link of multi-loop direct current system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4648018A (en) * 1984-03-01 1987-03-03 Siemens Aktiengesellschaft Method and apparatus to operate a high-voltage DC transmission system (HVDC) with automatic control of the converters
CN107134799A (en) * 2017-04-19 2017-09-05 国家电网公司 A kind of extra-high voltage grid transverter reactive configuration method based on short-circuit ratio
CN109149614A (en) * 2018-08-20 2019-01-04 西安交通大学 A kind of alternating current-direct current combined hybrid system alternating current circuit reclosing mode setting method
CN109888847A (en) * 2019-03-11 2019-06-14 广东电网有限责任公司 Optimizing operation method, the apparatus and system of more feed-in AC-DC hybrid power grids
CN112787351A (en) * 2021-01-07 2021-05-11 国网江苏省电力有限公司经济技术研究院 Coordination control method for low-voltage current limiting link of multi-loop direct current system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
四川电网多送出直流输电系统交互影响分析;陈虎;贺洋;张英敏;李兴源;王渝红;赵睿;;电力系统及其自动化学报(第04期);全文 *

Also Published As

Publication number Publication date
CN114094615A (en) 2022-02-25

Similar Documents

Publication Publication Date Title
Liu et al. Coordinated control of distributed energy storage system with tap changer transformers for voltage rise mitigation under high photovoltaic penetration
Shahid Smart grid integration of renewable energy systems
CN107482668B (en) High voltage direct current determines reactive power AC fault restoration methods and device
Banerji et al. Enhancing quality of power to sensitive loads with microgrid
CN106936152B (en) Consider the ac and dc systems voltage and reactive power coordinated control method of converter station loss characteristic
CN110797874B (en) State estimation method for AC/DC hybrid power distribution network containing power electronic transformer
CN108493998B (en) Robust power transmission network planning method considering demand response and N-1 expected faults
CN109659968B (en) Electromechanical transient modeling method for distributed access type LCC-MMC (lower control limit-multilevel converter) mixed direct-current system
CN111563691A (en) Performance evaluation method for AC/DC hybrid power distribution network accessed with new energy
Tadjeddine et al. Optimal distribution of power under stress on power grid in real-time by reactive compensation-management and development in balance
CN105262077A (en) Control method for optimizing power flow of direct-current distribution network
Liu et al. Start-up sequence of generators in power system restoration avoiding the backtracking algorithm
CN114094615B (en) Multi-DC conveying limit calculation method based on DC interaction coupling clustering
CN105977995B (en) A kind of active reactive control method of flexibility looped network device
CN112491092A (en) Safety scheduling method for flexible platform area
CN104348179A (en) Control method for light direct current transmission system
Abeynayake et al. Analysis and Control of MVDC Demonstration Project in the UK: ANGLE-DC
CN106998067B (en) AC active filter for compensating characteristic harmonic wave of high-voltage DC transmission system
CN112436739B (en) Modular combined direct-current transformer and control method thereof
Kim et al. Validation for compatible modular multilevel converter models using PSCAD/EMTDC
CN201444190U (en) Micro-power full-load test device for current transformer
Geng et al. Optimal power flow for AC and DC grids based on power electronic transformer
CN205212429U (en) Optimize control system of DC distribution net trend
Li Advanced control of grid-forming inverters under uncertain operating conditions in AC microgrids
Zhu et al. An engineering applicable dynamic equivalent method for large-scale AC system connected to VSC-HVDC

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant